Results 41 to 50 of about 135,505 (361)

Robust and Decomposable Average Precision for Image Retrieval [PDF]

open access: yesThirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 2021, Sydney, Australia, 2021
In image retrieval, standard evaluation metrics rely on score ranking, e.g. average precision (AP). In this paper, we introduce a method for robust and decomposable average precision (ROADMAP) addressing two major challenges for end-to-end training of deep neural networks with AP: non-differentiability and non-decomposability. Firstly, we propose a new
arxiv  

Dynparity: Dynamic disparity adjustment to avoid stereo window violations on stationary stereoscopic displays

open access: yesComputer Animation and Virtual Worlds, Volume 33, Issue 6, November/December 2022., 2022
Stereo window violations in 3D rendering occur when virtual objects in front of a physical screen are clipped at the screen borders. Dynparity introduces a real‐time, per‐vertex, nonuniform projection to eliminate this adversary effect. Our user study shows that Dynparity significantly reduces simulator sickness compared to standard stereo rendering on
Christoph Schröder‐Dering   +2 more
wiley   +1 more source

Multi-Attribute Balanced Sampling for Disentangled GAN Controls [PDF]

open access: yesarXiv, 2021
Various controls over the generated data can be extracted from the latent space of a pre-trained GAN, as it implicitly encodes the semantics of the training data. The discovered controls allow to vary semantic attributes in the generated images but usually lead to entangled edits that affect multiple attributes at the same time.
arxiv  

Noisy Galvanic Stimulation Improves Roll-Tilt Vestibular Perception in Healthy Subjects

open access: yesFrontiers in Neurology, 2018
It has recently been demonstrated that noisy galvanic vestibular stimulation (nGVS) delivered as imperceptible white noise can improve balance control via the induction of stochastic resonance.
Aram Keywan   +4 more
doaj   +1 more source

Association Between Vestibular Migraine and Migraine Headache: Yet to Explore. [PDF]

open access: yes, 2020
ObjectivesTo evaluate if patients with a diagnosis of vestibular migraine (VM) by the International Classification of Headache Disorders (ICHD) criteria have meaningful differences in symptomatology and disease characteristics when compared to patients ...
Abouzari, Mehdi   +5 more
core  

Unilateral enlarged vestibular aqueduct syndrome and bilateral endolymphatic hydrops [PDF]

open access: yes, 2017
Enlarged vestibular aqueduct (EVA) syndrome is a common congenital inner ear malformation characterized by a vestibular aqueduct with a diameter larger than 1.5 mm, mixed or sensorineural hearing loss that ranges from mild to profound, and vestibular ...
NOLA, GIUSEPPE   +3 more
core   +3 more sources

Wasserstein Loss for Semantic Editing in the Latent Space of GANs [PDF]

open access: yesarXiv, 2023
The latent space of GANs contains rich semantics reflecting the training data. Different methods propose to learn edits in latent space corresponding to semantic attributes, thus allowing to modify generated images. Most supervised methods rely on the guidance of classifiers to produce such edits.
arxiv  

Vestibular schwannoma and ipsilateral endolymphatic hydrops: an unusual association [PDF]

open access: yes, 2017
Vestibular schwannoma and endolymphatic hydrops are two conditions that may present with similar audio-vestibular symptoms. The association of the two in the same patient represents an unusual nding that may lead clinicians to errors and delays in ...
ALTISSIMI, Giancarlo   +8 more
core   +2 more sources

Multimodal Representations for Teacher-Guided Compositional Visual Reasoning [PDF]

open access: yesAdvanced Concepts for Intelligent Vision Systems, 21st International Conference (ACIVS 2023), Aug 2023, Kumamoto, Japan, 2023
Neural Module Networks (NMN) are a compelling method for visual question answering, enabling the translation of a question into a program consisting of a series of reasoning sub-tasks that are sequentially executed on the image to produce an answer. NMNs provide enhanced explainability compared to integrated models, allowing for a better understanding ...
arxiv  

Home - About - Disclaimer - Privacy